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Haolun Wu
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Journal Articles
- 2024
- [j2]Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 30:1-30:27 (2024) - 2023
- [j1]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023)
Conference and Workshop Papers
- 2023
- [c4]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE 2023: 1112-1125 - 2022
- [c3]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM 2022: 2148-2157 - [c2]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. SIGIR 2022: 703-714 - 2021
- [c1]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021: 4285-4293
Informal and Other Publications
- 2024
- [i13]Xiaoshan Huang, Haolun Wu, Xue Liu, Susanne P. Lajoie:
Examining the Role of Peer Acknowledgements on Social Annotations: Unraveling the Psychological Underpinnings. CoRR abs/2401.12956 (2024) - [i12]Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra:
Structured Entity Extraction Using Large Language Models. CoRR abs/2402.04437 (2024) - 2023
- [i11]Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu:
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR abs/2302.02241 (2023) - [i10]Chengming Hu, Xuan Li, Dan Liu, Haolun Wu, Xi Chen, Ju Wang, Xue Liu:
Teacher-Student Architecture for Knowledge Distillation: A Survey. CoRR abs/2308.04268 (2023) - [i9]Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan:
Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR abs/2310.20091 (2023) - [i8]Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, Xue Liu:
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. CoRR abs/2312.15112 (2023) - 2022
- [i7]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. CoRR abs/2205.00048 (2022) - [i6]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR abs/2208.01709 (2022) - [i5]Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR abs/2208.01849 (2022) - [i4]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR abs/2211.06370 (2022) - [i3]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [i2]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR abs/2101.04852 (2021) - [i1]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. CoRR abs/2105.02951 (2021)
Coauthor Index
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